Education Information System

Course Title	Code	Semester	L+U Hour	Credits	ECTS
Remote Sensing In Forestry	OM305	5. Semester	2 + 1	3.0	4.0

Prerequisites

None

Language of Instruction	Turkish
Course Level	Undergraduate
Course Type
Mode of delivery	Oral
Course Coordinator	Prof. Dr. Abdurrahim AYDIN
Instructors
Assistants
Goals	How to use remote sensing in forestry.
Course Content	Introduction to remote sensing, basics and components of remote sensing, data sources, Electromagnetic spectrum, aerial photos and films, gliding and covering ratios of aerial photos, planning of flying time, 3D views and effective area in aerial photos, photo interpretation, certain measurements over aerial photos, satellites, resolution in satellite images,Pretreatment of images, processing of images and classifications of images, data modification and analysis
Learning Outcomes	- The development and basics of remote sensing, aerial photographs, electro-magnetic spectrum. - Sensing systems, satellites, satellite for research of natural resources , applications of satellite-views in forestry - Be able to classify land use from satellite images - They will have information about Unmanned Aerial Vehicles and Close Range Photogrammetry - Be able to take images by making flight plans - Be able to produce Orthoimage and Digital Terrain Mode

Week	Topics	Learning Methods
1. Week	Uzaktan algılamanın tanımı, temel ilke ve öğeleri. Veri kaynakları. Uzaktan Algılama sistemleri. Uzaktan algılamanın ormancılıktaki önemi.	Visual Presentation Verbal Expression Practice Course Hours Preparation, After Class Study Other Activities Research
2. Week	Electromanietic Radiation (EMR) and Electromanietic Spectrum (EMS)	Other Activities Research Verbal Expression Practice Preparation, After Class Study Course Hours Visual Presentation
3. Week	Four types of resolution in RS	Visual Presentation Practice Course Hours Preparation, After Class Study Other Activities Verbal Expression Research
4. Week	Satellites and Land Observation Satellites	Preparation, After Class Study Course Hours Research Other Activities Verbal Expression Visual Presentation Practice
5. Week	Geometric correction, subset and mosaic in satellite imageries	Research Other Activities Verbal Expression Visual Presentation Practice Course Hours Preparation, After Class Study
6. Week	Image enhancement and band arithmetics	Verbal Expression Visual Presentation Practice Research Course Hours Other Activities Preparation, After Class Study
7. Week	Image classification_Unsupervised	Course Hours Preparation, After Class Study Research Other Activities Visual Presentation Practice Verbal Expression
8. Week	Image classification_Supervised	Visual Presentation Course Hours Research Other Activities Preparation, After Class Study Verbal Expression Practice
9. Week	Introduction to photogrammetry	Preparation, After Class Study Course Hours Research Verbal Expression Other Activities Visual Presentation Practice
10. Week	Close-range photogrammetry	Other Activities Verbal Expression Visual Presentation Practice Research Preparation, After Class Study Course Hours
11. Week	Unmanned Aerial Systems, components and working principles	Practice Course Hours Research Other Activities Verbal Expression Visual Presentation Preparation, After Class Study
12. Week	Flight Planning	Course Hours Research Verbal Expression Visual Presentation Field Work Practice
13. Week	Generating orthoimage and Digital Elevation Model	Verbal Expression Visual Presentation Practice Course Hours Other Activities Research Preparation, After Class Study
14. Week	RS data and GIS integration	Practice Preparation, After Class Study Course Hours Research Other Activities Visual Presentation Verbal Expression

Program Requirements	Contribution Level	DK1	DK2	DK3	DK4	DK5	DK6	Measurement Method
PY1	2	1	2	2	2	2	2	40,60
PY2	1	1	1	1	1	1	1	40,60
PY3	1	1	1	1	1	1	1	40,60
PY4	3	3	3	3	3	3	3	40,60
PY5	4	4	4	4	4	4	4	40,60
PY6	3	3	3	3	3	3	3	40,60
PY7	4	4	4	4	4	4	4	40,60
PY8	2	2	2	2	2	2	2	40,60
PY9	1	1	1	1	1	1	1	40,60
PY10	1	1	1	1	1	1	1	40,60
PY11	1	1	1	1	1	1	1	40,60
PY12	2	2	2	2	2	2	2	40,60
PY13	1	1	1	1	1	1	1	40,60
PY14	1	1	1	1	1	1	1	40,60

*DK = Course's Contrubution.

	0	1	2	3	4	5
Course's Level of contribution	None	Very Low	Low	Fair	High	Very High
Method of assessment/evaluation		Written exam	Oral Exams	Assignment/Project	Laboratory work	Presentation/Seminar

Event	Quantity	Duration (Hour)	Total Workload (Hour)
Course Hours	14	2	28
Preparation, After Class Study	5	2	10
Research	3	2	6
Other Activities	2	1	2
Visual Presentation	1	1	1
Field Work	2	3	6
Practice	14	2	28
Midterm 1	1	1	1
Homework 1	3	2	6
Homework 2	2	3	6
Quiz 1	1	1	1
Final	1	2	2
Practice	1	5	5
Total Workload			102
ECTS Credit of the Course			25.5 4.0